Textnify

Text Statistics

One table with everything measurable about your text: size in several units, structure, vocabulary and timing.

Your text stays in this browser tab. Nothing is uploaded, saved or logged.

How the Text Statistics works

Size is reported four ways: visible characters, Unicode code points, UTF-16 units and UTF-8 bytes. They match only for plain English text; accents, emoji and non-Latin scripts make them diverge.

Unique words are counted case-insensitively after removing punctuation at the edges of each word, so “Word,” “word” and “WORD” are one unique word. The ratio of unique words to total words is a rough measure of vocabulary variety: repetitive text scores low.

Average word length is measured in visible characters per word, and average sentence length in words per sentence. Sentences, paragraphs, lines, reading time and speaking time follow the same rules as the dedicated tools.

How to use it

  1. Paste your text.
  2. Read the table from top to bottom: size, structure, vocabulary, timing.
  3. Use the longest word and the averages to spot text that is dense or repetitive.

Example

The complete table for the sample text.

Text

Good tools do one job well. They load fast, ask for nothing, and never keep your text.

That is the idea here: paste, read the numbers, move on.

Result

Words
28
Unique words
27
Characters
144
Sentences
3
Paragraphs
2
Average word length
3.86
Longest word
nothing

Frequently asked questions

What does a low unique-word ratio mean?

It means the same words repeat a lot. Short texts naturally score high because there is little room to repeat, while long texts score lower. Compare texts of similar length rather than reading the number in isolation.

Why are there four different character counts?

Because systems disagree about what a character is. Visible characters are what you see, code points are Unicode’s count, UTF-16 units are what JavaScript reports and UTF-8 bytes are what files and databases store. See the Character Counter for details.

Does the tool score readability, for example Flesch?

No. Readability formulas depend on syllable counting, which cannot be done reliably for every language, and a wrong score would be misleading. The average word and sentence lengths shown here are the inputs those formulas use.